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To identify decision characteristics for which SDM authors deem SDM appropriate or not, and what arguments are used.We applied two search strategies: we included SDM models from an earlier review (strategy 1) and conducted a new search in eight databases to include papers other than describing an SDM model, such as original research, opinion papers and reviews (strategy 2).From the 92 included papers, we identified 18 decision characteristics for which authors deemed SDM appropriate, including preference-sensitive, equipoise and decisions where patient commitment is needed in implementing the decision. SDM authors indicated limits to SDM, especially when there are immediate life-saving measures needed. We identified four decision characteristics on which authors of different papers disagreed on whether or not SDM is appropriate.The findings of this review show the broad range of decision characteristics for which authors deem SDM appropriate, the ambiguity of some, and potential limits of SDM.The findings can stimulate clinicians to (re)consider pursuing SDM in situations in which they did not before. Additionally, it can inform SDM campaigns and educational programs as it shows for which decision situations SDM might be more or less challenging to practice.

ObjectivesWe aimed to systematically map the extent, range and nature of research activity on value-based healthcare (VBHC), and to identify research gaps.DesignA scoping review with an additional cited reference search was conducted, guided by the Joanna Briggs Institute methodology.Data sourcesThe search was undertaken in PubMed, Embase and Web of Science.Eligibility criteriaEligible articles mentioned VBHC or value with reference to the work of Porter or provided a definition of VBHC or value.Data extraction and synthesisData were independently extracted using a data extraction form. Two independent reviewers double extracted data from 10% of the articles. Data of the remaining articles (90%) were extracted by one reviewer and checked by a second. The strategic agenda of Porter and Lee was used to categorise the included articles.ResultsThe searches yielded a total of 27,931 articles, of which 1,242 were analysed. Most articles were published in North America. Most articles described an application of VBHC by measuring outcomes and costs (agenda item 2). The other agenda items were far less frequently described or implemented. Most of these articles were conceptual, meaning that nothing was actually changed or implemented.ConclusionThe number of publications increased steadily after the introduction of VBHC in 2006. Almost one-fifth of the articles could not be categorised in one of the items of the strategic agenda, which may lead to the conclusion that the current strategic agenda could be extended. In addition, a practical roadmap or guideline to implement VBHC is still lacking. Future research could fill this gap by specifically studying the effectiveness of VBHC in day-to-day clinical practice.

Introduction. The Ottawa Decision Support Framework (ODSF) has guided practitioners and patients facing difficult decisions for 20 years. It asserts that decision support interventions that address patients’ decisional needs improve decision quality. Purpose. To update the ODSF based on a synthesis of evidence. Methods. We conducted an overview of systematic reviews, searching 9 electronic databases. Eligible reviews included decisional needs assessments, decision support interventions, and decisional outcome measures guided by the ODSF. We extracted data and synthesized results narratively. Eight ODSF developers/expert users from 4 disciplines revised the ODSF. Results. Of 4656 citations, we identified 4 eligible reviews (>250 studies, >100 different decisions, >50,000 patients, 18 countries, 5 continents). They reported current ODSF decisional needs and their most frequent manifestations in the areas of inadequate knowledge/information, unclear values, decisional conflict/uncertainty, and inadequate support. They uncovered 11 new manifestations of 6 decisional needs. Using the Decisional Conflict Scale (DCS) to assess decisional needs, average scores were elevated at baseline and declined shortly after decision making, even without information interventions. Patient decision aids were superior to usual care in reducing total DCS scores and improving decision quality. We revised the ODSF by refining definitions of 6 decisional needs and adding new interventions to address 4 needs. We added a decision process outcome and eliminated secondary outcomes unlikely to improve across a range of decisions, retaining the implementation/continuance of the chosen option and appropriate use/costs of health services. Conclusions. We updated the ODSF to reflect the current evidence and identified implications for practice and further research.

Five years ago, we published a 'wake-up' paper on shared decision-making (SDM) in West Africa. In the current paper, our overview has been expanded to more African regions (central and north, in addition to the west) as well as to person-centred care (PCC) approaches. While these concepts are known in all regions to varying degrees, results indicate that most known SDM and PCC efforts originate from West Africa. In general, the focus seems to be predominantly on partnership-driven healthcare programs, such as COVID-19 infection; HIV/AIDS and maternal/neonatal care; and patient-provider communication and patient participation instead of comprehensive SDM approaches. The findings also indicate the absence of SDM training for African health professionals beyond specific healthcare programs, but some education on decision-making or critical appraisal of health information in primary or undergraduate health schools is carried out in certain African countries. Building on these sectoral initiatives, future directions include developing research and training programs in the perspective of scaling effective approaches.

IntroductionWithin the value-based healthcare framework, outcome data can be used to inform patients about (treatment) options, and empower them to make shared decisions with their health care professional. To facilitate shared decision-making (SDM) supported by outcome data, a multicomponent intervention has been designed, including patient decision aids on the organisation of post-treatment surveillance (breast cancer); discharge location (stroke) and treatment modality (advanced kidney disease), and training on SDM for health care professionals. The SHared decision-making supported by OUTcome information (SHOUT) study will examine the effectiveness of the intervention and its implementation in clinical practice.Methods and analysisMultiple interrupted time series will be used to stepwise implement the intervention. Patients diagnosed with either breast cancer (N=630), stroke (N=630) or advanced kidney disease (N=473) will be included. Measurements will be performed at baseline, three (stroke), six and twelve (breast cancer and advanced kidney disease) months. Trends on outcomes will be measured over a period of 20 months. The primary outcome will be patients’ perceived level of involvement in decision-making. Secondary outcomes regarding effectiveness will include patient-reported SDM, decisional conflict, role in decision-making, knowledge, quality of life, preferred and chosen care, satisfaction with the intervention, healthcare utilisation and health outcomes. Outcomes regarding implementation will include the implementation rate and a questionnaire on the health care professionals’ perspective on the implementation process.Ethics and disseminationThe Medical research Ethics Committees United in Nieuwegein, the Netherlands, has confirmed that the Medical Research Involving Human Subjects Act does not apply to this study. Bureau Onderzoek & Innovatie of Santeon, the Netherlands, approved this study. The results will contribute to insight in and knowledge on the use of outcome data for SDM, and can stimulate sustainable implementation of SDM.Trial registration numberNL8374, NL8375 and NL8376.

Background and Objectives Informal caregivers are rarely as involved as they want to be in the housing decisions of cognitively impaired older adults. Lack of awareness of available options and their benefits and risks may lead to decisions that do not reflect older adults’ preferences, and to guilt and regret. We assessed the effect of training home care teams in interprofessional shared decision-making (SDM) on the proportion of caregivers who report being active in this decision. Research Design and Methods In a two-arm pragmatic cluster randomized trial with home care teams working in health centers in the Province of Quebec, we randomized health centers to receive training in interprofessional SDM (intervention) or not (control). Eligible caregivers had made a housing decision for a cognitively impaired adult aged 65 years or older who was receiving services from a home care team. The primary outcome was the proportion of caregivers reporting an active role in decision making. We performed intention-to-treat multilevel analysis. Results We consecutively enrolled a random group of 16 health centers and recruited 309 caregivers, among whom 296 were included in the analysis. In the intervention arm, the proportion of caregivers reporting an active role in decision making increased by 12% (95% CI −2% to 27%; p = .10). After removal of an influential cluster outlier, the proportion increased to 18% (95% CI: 7%–29%; p < .01). Discussion and Implications Training home care teams in interprofessional SDM increased caregiver involvement in health-related housing decisions for cognitively impaired older adults.

Background. The Decisional Conflict Scale (DCS) measures 5 dimensions of decision making (feeling: uncertain, uninformed, unclear about values, unsupported; ineffective decision making). We examined the use of the DCS over its initial 20 years (1995 to 2015). Methods. We conducted a scoping review with backward citation search in Google Analytics/Web of Science/PubMed, followed by keyword searches in Cochrane Library, PubMed, Ovid MEDLINE, EMBASE, CINAHL, AMED, PsycINFO, PRO-Quest, and Web of Science. Eligible studies were published between 1995 and March 2015, used an original experimental/observational research design, concerned a health-related decision, and provided DCS data (total/subscales). Author dyads independently screened titles, abstracts, full texts, and extracted data. We performed narrative data synthesis. Results. We included 394 articles. DCS use appeared to increase over time. Three hundred nine studies (76%) used the original DCS, and 29 (7%) used subscales only. Most studies used the DCS to evaluate the impact of decision support interventions ( n = 238, 59%). The DCS was translated into 13 languages. Most decisions were made by people for themselves ( n = 353, 87%), about treatment ( n = 225, 55%), or testing ( n = 91, 23%). The most common decision contexts were oncology ( n = 113, 28%) and primary care ( n = 82, 20%). Conclusions. This is the first study to descriptively synthesize characteristics of DCS data. Use of the DCS as an outcome measure for health decision interventions has increased over its 20-year existence, demonstrating its relevance as a decision-making evaluation measure. Most studies failed to report when decisional conflict was measured during the decision-making process, making scores difficult to interpret. Findings from this study will be used to update the DCS user manual.

Background. We explored decisional conflict as measured with the 16-item Decisional Conflict Scale (DCS) and how it varies across clinical situations, decision types, and exposure to decision support interventions (DESIs). Methods. An exhaustive scoping review was conducted using backward citation searches and keyword searches. Eligible studies were published between 1995 and March 2015, used an original experimental/observational research design, concerned a health-related decision, and provided DCS data. Dyads independently screened titles/abstracts and full texts, and extracted data. We performed narrative syntheses and calculated average or median DCS scores. Results. We included 246 articles reporting on 253 studies. DCS scores ranged from 2.4 to 79.7 out of 100. Highest baseline DCS scores were for care planning (44.8 ± 8.9, median = 47.0) and treatment decisions (32.5 ± 12.6, median = 31.9), in contexts of primary care (40.6 ± 18.3), and geriatrics (39.8 ± 11.2). Baseline scores were high among decision makers who were ill (33.2 ± 14.1, median = 30.2) or making decisions for themselves (33.4 ± 13.8, median = 32.0). Total DCS scores 37.4). After DESI use, DCS scores decreased short-term but increased or remained the same long-term (>6 months). Conclusions. DCS scores were highest at baseline and decreased after decision making. DESIs decreased decisional conflict immediately after decision making. The largest improvements after DESIs were in decision makers who were ill or made decisions for themselves. Further meta-analyses are needed for decision type, contexts, and interventions to inform hypotheses about the expected effects of DESIs, the best timing for measurement, and interpretation of DCS scores.

Contains fulltext : 196325.pdf (Publisher’s version ) (Open Access) BACKGROUND: Little is known about the decision-making experiences of seniors and informal caregivers facing decisions about seniors' housing decisions when objective decision making measures are used. OBJECTIVES: To report on seniors' and caregivers' experiences of housing decisions. DESIGN: A cross-sectional study with a quantitative approach supplemented by qualitative data. SETTING: Sixteen health jurisdictions providing home care services, Quebec province, Canada. PARTICIPANTS: Two separate samples of seniors aged >/= 65 years and informal caregivers of cognitively impaired seniors who had made a decision about housing. MEASUREMENTS: Information on preferred choice and actual choice about housing, role assumed in the decision, decisional conflict and decision regret was obtained through closed-ended questionnaires. Research assistants paraphrased participants' narratives about their decision-making experiences and made other observations in standardized logbooks. RESULTS: Thirty-one seniors (median age: 85.5 years) and 48 caregivers (median age: 65.1 years) were recruited. Both seniors and caregivers preferred that the senior stay at home (64.5% and 71.7% respectively). Staying home was the actual choice for only 32.2% of participating seniors and 36.2% of the seniors cared for by the participating caregivers. Overall, 93% seniors and 71% caregivers reported taking an active or collaborative role in the decision-making process. The median decisional conflict score was 23/100 for seniors and 30/100 for caregivers. The median decision regret score was the same for both (10/100). Qualitative analysis revealed that the housing decision was influenced by factors such as seniors' health and safety concerns and caregivers' burden of care. Some caregivers felt sad and guilty when the decision did not match the senior's preference. CONCLUSION: The actual housing decision made for seniors frequently did not match their preferred housing option. Advanced care planning regarding housing and better decision support are needed for these difficult decisions.

Up to now, little attention has been paid to West Africa when it comes to shared decision making (SDM). West African countries seem to lag behind with regard to SDM initiatives compared to many other countries in the world. There is some interest in informed decision making or informed consent, but little in a full SDM process. Few decision-making tools are available for healthcare professionals and the majority are not designed to support decision-making with patients. Furthermore, to the best of our knowledge, there are no training programs for implementing SDM in healthcare teams. Many barriers exist to implementing SDM in West Africa, including lack of options, few or poor health resources and low levels of education. However, African countries present many opportunities for SDM as well. Existing SDM innovations developed for other populations with low literacy could be explored and adapted to the West African context, and research on implementation and outcomes in West Africa could contribute to SDM worldwide. West African countries are in an excellent position to both learn from other countries and contribute to SDM development in other parts of the world. In this paper we reflect on SDM challenges and opportunities, and propose a research agenda for West Africa. We hope to awaken interest in SDM in West Africa and encourage future collaborations on SDM with various West African stakeholders, including patients, healthcare professionals, policymakers, non-government organisations (NGOs) and academic institutions.

To improve information provision about fertility preservation for breast cancer patients in the Netherlands, a web-based Decision Aid (DA) with additional values clarification exercise was developed according to the International Patient Decision Aid Standards criteria. This study reports on development of the DA.Development consisted of four stages: (I) development of a draft DA, (II) acceptability of the draft DA to patients, (III) understanding (knowledge) in healthy populations, (IV) acceptability of the revised DA among patients and physicians. The study population consisted of 185 participants: 20 patients, 17 physicians and 148 healthy volunteers.The draft DA was considered to be relevant and understandable by patients, physicians and healthy volunteers. The values clarification exercise needed adaptation in explanation and navigation, which was done after stage II. Knowledge scores improved by 18% for lower educated women (from 4.1 (41%) to 5.9 (59%) correct answers), and by 34% for higher educated women after viewing the website (from 3.9 (39%) to 7.3 (73%) correct answers). Design of the DA was evaluated to be clear, but not always very appealing.The DA was regarded as a relevant source of information that seemed coherent and understandable.

Contains fulltext : 172066.pdf (Publisher’s version ) (Open Access) We conducted a mixed-methods knowledge synthesis to assess the effectiveness of interventions to improve caregivers' involvement in decision making with seniors, and to describe caregivers' experiences of decision making in the absence of interventions. We analyzed forty-nine qualitative, fourteen quantitative, and three mixed-methods studies. The qualitative studies indicated that caregivers had unmet needs for information, discussions of values and needs, and decision support, which led to negative sentiments after decision making. Our results indicate that there have been insufficient quantitative evaluations of interventions to involve caregivers in decision making with seniors and that the evaluations that do exist found few clinically significant effects. Elements of usual care that received positive evaluations were the availability of a decision coach and a supportive decision-making environment. Additional rigorously evaluated interventions are needed to help caregivers be more involved in decision making with seniors.

ObjectiveTo develop a web-based decision aid (DA) for the treatment of lower urinary tract symptoms due to benign prostatic hyperplasia (LUTS/BPH).MethodsFrom February–September 2014 we performed a four-stage development method: 1: Two-round Delphi consensus method among urologists, 2: Identifying patients’ needs and expectations, 3: Development of DA content and structure, 4: Usability testing with LUTS/BPH patients.Results1 (N = 15): Dutch urologists reached consensus on 61% of the statements concerning users’ criteria, decision options, structure, and medical content. 2 (N = 24): Consensus was reached in 69% on statements concerning the need for improvement of information provision, the need for DA development and that the DA should clarify patients’ preferences. 3: DA development based on results from stage 1 and stage 2. 4 (N = 10): Pros of the DA were clear information provision, systematic design and easy to read and re-read.ConclusionA LUTS/BPH DA containing VCEs** was developed in cooperation with urologists and patients following a structured 4 stage method and was stated to be well accepted.Practice ImplicationsThis method can be adopted for the development of DAs to support other medical decision issues.Keywords: Benign, Prostatic Hyperplasia, Decision Aid, Decision Aid development, Delphi consensus study

For the elderly to get the care and services they need, they may need to make the difficult decision about staying in their home or moving to another home. Many other people may be involved in their care too (friends, family and healthcare providers), and can support them in making the decision. We asked informal caregivers of elderly people to help us develop a decision guide to support them and their loved ones in making this decision. This guide will be used by health providers in home care who are trained to help people make decisions. The guide is in French and English. To design and test this decision guide we involved elderly people, their caregivers and health administrators. We first asked them what they needed for making the decision, and then designed a first version of the guide. Then we asked them to look at it and give feedback, which was used to make the final version. We then used scientific criteria to check its content and the language used. The final decision guide was acceptable to the caregivers, their elderly loved ones, and the health administrators. The guide is currently being evaluated in a large research project with home care teams in the province of Quebec. Background As they grow older, many elderly people are faced with the difficult and preference-sensitive decision about staying in their home or moving to a residence better adapted to their evolving care needs. We aimed to develop an English and French decision aid (DA) for elderly people facing this decision, and to involve end-users in all phases of the development process. Methods A three-cycle design with involvement of end-users in Quebec. End-users were elderly people (n = 4) caregivers of the elderly (n = 5), health administrators involved in home-care service delivery or policy (n = 6) and an interprofessional research team (n = 19). Cycle 1: Decisional needs assessment and development of the first prototype based on existing tools and input from end-users; overview of reviews examining the impact of location of care on elderly people’s health outcomes. Cycle 2: Usability testing with end-users, adaptation of prototype. Cycle 3: Refinement of the prototype with a linguist, graphic designer and end-users. The final prototype underwent readability testing and an International Patient Decision Aids (IPDAS) criteria compatibility assessment to verify minimal requirements for decision aids and was tested for usability by the elderly. Results Cycle 1: We used the Ottawa Personal Decision Guide to design a first prototype. As the overview of reviews did not find definitive evidence regarding optimal locations of care for elderly people, we were not able to add evidence-based advantages and disadvantages to the guide. Cycle 2: Overall, the caregivers and health administrators who evaluated the prototype (n = 10) were positive. In response to their suggestions, we deleted some elements (overview of pros, cons, and consequences of the options) that were necessary to qualify the tool as a DA and renamed it a “decision guide”. Cycle 3: We developed French and English versions of the guide, readable at a primary school level. The elderly judged the guide as acceptable. Conclusion We developed a decision guide to support elderly people and their caregivers in decision making about location of care. This paper is one of few to report on a fully collaborative approach to decision guide development that involves end-users at every stage (caregivers and health administrators early on, the frail elderly in the final stages). The guide is currently being evaluated in a cluster randomized trial. Trial registration: NCT02244359.

We investigated the psychometric properties of a Dutch version of the Reproductive Concerns Scale (RCS). Questionnaires (N = 515) were administered to 90 women with breast cancer, 227 women with fertility problems, and 198 healthy controls. Principal axis factor analysis suggested a one-factor structure with 11 items (breast cancer patients R(2) =.48, α =.87, ICC =.95; women with fertility problems R(2) =.45, α =.89, ICC =.86). Women with fertility problems reported the most concerns (M = 21.8, SD = 9.6), followed by breast cancer patients (M = 14.8, SD = 10.0) and healthy controls (M = 6.4, SD = 7.0). Theoretically related constructs were correlated to the RCS (.33r.73). The RCS seems to be a valid tool for assessing women's reproductive concerns.

Background It is a challenge for oncologists to distinguish patients with breast cancer who can forego adjuvant systemic treatment without negatively affecting survival from those who cannot. Risk prediction models (RPMs) have been developed for this purpose. Oncologists seem to have embraced RPMs (particularly Adjuvant!) in clinical practice and often use them to communicate prognosis to patients. We performed a systematic review of published RPMs and provide an overview of the prognosticators incorporated and reported clinical validity. Subsequently, we selected the RPMs that are currently used in the clinic for a more in-depth assessment of clinical validity. Finally, we assessed lay comprehensibility of the reports generated by RPMs. Methods Pubmed, EMBASE, and Web of Science were searched. Two reviewers independently selected relevant articles and extracted data. Agreement on article selection and data extraction was achieved in consensus meetings. Results We identified RPMs based on clinical prognosticators (N = 6) and biomolecular features (N = 14). Generally predictions from RPMs seem to be accurate, except for patients ≤ 50 years or ≥ 75 years at diagnosis, in addition to Asian populations. RPM reports contain much medical jargon or technical details, which are seldom explained in lay terms. Conclusion The accuracy of RPMs' prognostic estimates is suboptimal in some patient subgroups. This urgently needs to be addressed. In their current format, RPM reports are not conducive to patient comprehension. Communicating survival probabilities using RPM might seem straightforward, but it is fraught with difficulties. If not done properly, it can backfire and confuse patients. Evidence to guide best communication practice is needed.

Background Many elders struggle with the decision to remain at home or to move to an alternative location of care. A person’s location of care can influence health and wellbeing. Healthcare organizations and policy makers are increasingly challenged to better support elders’ dwelling and health care needs. A summary of the evidence that examines home care compared to other care locations can inform decision making. We surveyed and summarized the evidence evaluating the impact of home care versus alternative locations of care on elder health outcomes. Methods We conducted an overview of systematic reviews. Data sources included MEDLINE, the Cochrane Library, EMBASE, and CINAHL. Eligible reviews included adults 65+ years, elder home care, alternative care locations, and elder health outcomes. Two independent reviewers screened citations. We extracted data and appraised review quality using the Assessing the Methodological Quality of Systematic Reviews (AMSTAR) checklist. Results were synthesized narratively. Results The search yielded 2575 citations, of which 19 systematic reviews were eligible. Three hundred and forty studies with 271,660 participants were synthesized across the systematic reviews. The categories of comparisons included: home with support versus independent living at home (n = 11 reviews), home care versus institutional care (n = 3 reviews), and rehabilitation at home versus conventional rehabilitation services (n = 7 reviews). Two reviews had data relevant to two categories. Most reviews favoured home with support to independent living at home. Findings comparing home care to institutional care were mixed. Most reviews found no differences in health outcomes between rehabilitation at home versus conventional rehabilitation services. Systematic review quality was moderate, with a median AMSTAR score of 6 (range 4 - 10 out of 11). Conclusions The evidence on the impact of home care compared to alternative care locations on elder health outcomes is heterogeneous. Our findings support positive health impacts of home support interventions for community dwelling elders compared to independent living at home. There is insufficient evidence to determine the impact of alternative care locations on elders’ health. Additional research targeting housing and care options for the elderly is needed. Electronic supplementary material The online version of this article (doi:10.1186/s12877-016-0395-y) contains supplementary material, which is available to authorized users.

Background We aimed to evaluate the effect of a decision aid (DA) with information only compared to a DA with values clarification exercise (VCE), and to study the role of personality and information seeking style in DA-use, decisional conflict (DC) and knowledge. Methods Two scenario-based experiments were conducted with two different groups of healthy female participants. Dependent measures were: DC, knowledge, and DA-use (time spent, pages viewed, VCE used). Respondents were randomized between a DA with information only (VCE-) and a DA with information plus a VCE(VCE+) (experiment 1), or between information only (VCE-), information plus VCE without referral to VCE(VCE+), and information plus a VCE with specific referral to the VCE, requesting participants to use the VCE(VCE++) (experiment 2). In experiment 2 we additionally measured personality (neuroticism/conscientiousness) and information seeking style (monitoring/blunting). Results Experiment 1. There were no differences in DC, knowledge or DA-use between VCE- (n=70) and VCE+ (n=70). Both DAs lead to a mean gain in knowledge from 39% at baseline to 73% after viewing the DA. Within VCE+, VCE-users (n=32, 46%) reported less DC compared to non-users. Since there was no difference in DC between VCE- and VCE+, this is likely an effect of VCE-use in a self-selected group, and not of the VCE per se. Experiment 2. There were no differences in DC or knowledge between VCE- (n=65), VCE+ (n=66), VCE++ (n=66). In all groups, knowledge increased on average from 42% at baseline to 72% after viewing the DA. Blunters viewed fewer DA-pages (R=0.38, p

Background Patient decision aids (PtDAs) help people make difficult, values-sensitive decisions. Prenatal screening for assessing the risk of genetic conditions in the fetus is one such decision and patient decision aids are rarely used in this clinical context. We sought to identify factors influencing pregnant women’s use of a patient decision aid for deciding about prenatal screening for Down syndrome (DS). Methods This qualitative study was embedded in a sequential mixed-methods research program whose main aim is to implement shared decision-making (SDM) in the context of prenatal screening for DS in the province of Quebec, Canada. We planned to recruit a purposive sample of 45 pregnant women with low-risk pregnancy consulting for prenatal care at three clinical sites. Participating women watched a video depicting a prenatal care follow-up during which a pregnant woman, her partner and a health professional used a PtDA to decide about prenatal screening for DS. The women were then interviewed about factors that would influence the use of this PtDA using questions based on the Theoretical Domains Framework (TDF). We performed content analysis of transcribed verbatim interviews. Results Out of 216 eligible women, 100 agreed to participate (46% response rate) and 46 were interviewed. Regarding the type of health professional responsible for their prenatal care, 19 participants (41%) reported having made a decision about prenatal screening for DS with an obstetrician-gynecologist, 13 (28%) with a midwife, 12 (26%) with a family physician, and two (4%) decided on their own. We identified 54 factors that were mapped onto nine of the 12 TDF domains. The three most frequently-mentioned were: opinion of the pregnant woman’s partner (n = 33, 72%), presentation of the PtDA by health professional and a discussion (n = 27, 72%), and not having encountered a PtDA (n = 26, 57%). Conclusion This study allowed us to identify factors influencing pregnant women’s use of a PtDA for prenatal screening for DS. Use of a PtDA by health professionals and patients is one step in providing the needed decision support and our study results will allow us to design an effective implementation strategy for PtDAs for prenatal screening for DS. Electronic supplementary material The online version of this article (doi:10.1186/s12884-017-1273-0) contains supplementary material, which is available to authorized users.